Development of the technique of clustering by acoustic emission signal parameters
Source abstract
Abstract
The technique of clustering by a set of parameters of acoustic emission (AE) signals, which allows reducing the time of processing of the recorded data, is considered. A comparative analysis of the stability of three clustering techniques (by shape, leading edge rise rate, and a set of AE signal parameters) with respect to the effect of random noise distributed according to a normal law is performed. A possibility of using the considered clustering techniques for distinguishing different stages of duralumin specimen fractures and during welding of steel specimens is experimentally demonstrated.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Engineering and Environmental Studies · Industrial Engineering and Technologies · Material Properties and Failure Mechanisms
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References (6)
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